Skip to contents

psychopdaROC Imbalanced Classes Data

Source: R/data_psychopdaROC_docs.R
psychopdaROC_imbalanced.Rd

Dataset with 200 patients and severe class imbalance (2% event rate), representing extremely rare outcomes where PPV/NPV are critical metrics.

Usage

psychopdaROC_imbalanced

Format

A data frame with 200 rows and 3 variables:

patient_id

Character: Patient identifier (PT001-PT200)

rare_outcome

Factor: "Event" or "No_Event" (2%/98% prevalence)

predictor

Numeric: Predictor value (mean: 90 for event, 50 for no event)

Source

Generated test data for ClinicoPath package

Details

Extreme class imbalance (2% events) with good predictor discrimination. Tests handling of severely imbalanced data and emphasis on predictive values over sensitivity/specificity.

Examples

data(psychopdaROC_imbalanced)
psychopdaROC(data = psychopdaROC_imbalanced, dependentVars = "predictor",
             classVar = "rare_outcome", positiveClass = "Event")
#> Error in psychopdaROC(data = psychopdaROC_imbalanced, dependentVars = "predictor",     classVar = "rare_outcome", positiveClass = "Event"): argument "refVar" is missing, with no default